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Machine Learning for Materials Discovery: Numerical Recipes and Practical Applicat... - AD-TEAM - 05-21-2024
![[Image: 46e5086238ea6bfde78f00e562d1b11e.jpg]](https://i123.fastpic.org/big/2024/0520/1e/46e5086238ea6bfde78f00e562d1b11e.jpg)
pdf | 18.47 MB | English | Isbn:9783031446221 | Author: N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo | Year: 2024
About ebook: Machine Learning for Materials Discovery: Numerical Recipes and Practical Applications
Quote:Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for applications in materials modeling and discovery. The book explains complex mathematical concepts in a lucid manner to ensure that readers from different materials domains are able to use these techniques successfully. A unique feature of this book is its hands-on aspect-each method presented herein is accompanied by a code that implements the method in open-source platforms such as Python. This book is thus aimed at graduate students, researchers, and engineers to enable the use of data-driven methods for understanding and accelerating the discovery of novel materials.
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